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How industrial innovation accelerates manufacturing performance and redefines what’s possible

While AI and other digital advances in manufacturing are happening at breakneck speed, the gap between adopters and laggards is widening.

Constant evolution is nothing new for manufacturing. But for years, the industry’s model had been somewhat predictable: Scale, efficiency and repeatability defined success, supported by stable demand, linear supply chains and manual processes that evolved slowly over time. Today, there is nothing slow, or certain, about industrial products manufacturing. AI, advanced analytics and digital manufacturing advances are rapidly reshaping how products are designed, produced and delivered, while volatility across the value chain has become the norm. For manufacturers, this shift creates real opportunity — new ways to innovate, scale more intelligently and strengthen manufacturing operations from design through service.

In reality, progress remains uneven. The 2026 EY Industrial Innovation and Transformation Index shows that only 19% of industrial companies are true leaders in transformation, using AI in manufacturing and modern supply chain management to drive tangible performance gains. Nearly half, 48%, are still navigating partial change — modernizing systems or piloting digital tools without fully integrating digital operations across the enterprise. And 34% lag significantly, many constrained by legacy technology, siloed data and growing operational risk. The result is a widening gap between high‑performing industrial organizations and those struggling to keep pace.

EY digital transformation framework

Digital transformation has matured, but its full potential is far from realized. We help industrial product (IP) companies scale their businesses for tomorrow, building cognitive, adaptive, AI-driven operations across four integrated layers engineered specifically for industrial manufacturing environments.



Cross-enterprise change that yields continuous transformation

As more manufacturers risk falling behind, the consequences extend well beyond individual firms. Slower transformation limits productivity, weakens operational resilience and adds pressure to already fragile supply chains.

Manufacturers consistently tell us they know what’s needed to move faster: connected digital foundations, practical AI integration, and digital transformation solutions that translate into everyday operations. What stands in the way is familiar — aging core systems, fragmented data and the challenge of scaling innovation across people, processes and technology.

Staying competitive in this new manufacturing environment requires more than incremental improvement. It calls for integrated digital transformation in manufacturing, stronger change leadership and organizations built to adapt continuously as the future of manufacturing takes shape.

Digital operations have become the distinguishing factor between industrial products companies who react and those who redefine what’s possible — widening the gap between transformation leaders and everyone else.

The next productivity boom will be driven by current advances in technology. Value will be created at the nexus of increasingly autonomous technologies and industry imperative.



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